Conceptual issues for screening in the genomic era - time for an update?

Background: Screening tests are ubiquitous in modern medicine; however a consensus view on the criteria that distinguish screening from clinical testing remains strangely elusive. although numerous definitions of screening have been suggested, there is considerable variation amongst them, leading to confusion and disagreement amongst clinicians and public health professionals alike. In light of developments in genomics, the question of what screening entails is becoming increasingly pressing.

A collaboratively-derived science-policy research agenda.

The need for policy makers to understand science and for scientists to understand policy processes is widely recognised. However, the science-policy relationship is sometimes difficult and occasionally dysfunctional; it is also increasingly visible, because it must deal with contentious issues, or itself becomes a matter of public controversy, or both. We suggest that identifying key unanswered questions on the relationship between science and policy will catalyse and focus research in this field.

Regulating direct-to-consumer genetic tests: what is all the fuss about?

The number of genetic tests available direct-to-consumer has burgeoned over the last few years, prompting numerous calls for tighter regulation of these services. However, there is a lack of consensus about the most appropriate and achievable level of regulation, particularly given the global nature of the market. By consideration of potential for direct and indirect harms caused by genetic susceptibility or genomic profiling tests, in this study we offer an overarching framework that we believe to be feasible for the regulation of direct-to-consumer genetic tests and likely to be relevant to other forms of predictive testing.

Genetic tests for common diseases: new insights, old concerns.

The clinical utility of newly identified genetic variants associated with common diseases needs evaluation

HER2 status in breast cancer--an example of pharmacogenetic testing.

The development of new drugs and associated pharmacogenetic tests will provide an increasing number of challenges to health care systems. In particular, how to evaluate their benefits, prioritize for commissioning purposes and implement a service to provide them in a timely manner. This paper presents an overview of HER2 testing for trastuzumab (Herceptin) treatment in breast cancer cases.

How can genetic tests be evaluated for clinical use? Experience of the UK Genetic Testing Network.

The UK Department of Health supported the establishment of the UK Genetic Testing Network (UKGTN) in 2002. The UKGTN is a collaborative network of NHS molecular genetic laboratories that offer tests for human single gene germ-line disorders. Its objective is to provide high quality and equitable services for patients and their families who require genetic advice, diagnosis and management.

The evaluation of genetic tests.

Scientific advances in genetics and molecular biology have been very successful in advancing our knowledge of biological mechanisms in health and disease, and in catalysing a variety of technological innovations. The number of genetic tests available has consequently increased exponentially over the last few years. Their development has not been accompanied by processes and systems to evaluate these tests in a proper and formal manner to establish their clinical validity and utility.

Ensuring the appropriate use of genetic tests.

Ensuring the correct use of genetic tests is an important challenge for health-policy makers. Many new genetic tests will identify susceptibility to common diseases or adverse drug responses. Some will lead to new prevention opportunities, but others will have minimal clinical value.

Genetic tests and their evaluation: can we answer the key questions?

The rapid pace of research in the field of genetics has already yielded many benefits. The development of new genetic tests is one such example. Before there can be widespread uptake of these tests they need to be evaluated to confirm the benefits of their use.

Familial hypercholesterolemia and coronary heart disease: a HuGE association review.

Familial hypercholesterolemia (FH) is an autosomal disorder characterized by increased levels of total cholesterol and low density lipoprotein cholesterol. The FH clinical phenotype has been shown to be associated with increased coronary heart disease and premature death. Mutations in the low density lipoprotein receptor gene (LDLR) can result in the FH phenotype, and there is evidence that receptor-negative mutations result in a more severe phenotype than do receptor-defective mutations.

Genetic causes of monogenic heterozygous familial hypercholesterolemia: a HuGE prevalence review.

The clinical phenotype of heterozygous familial hypercholesterolemia (FH) is characterized by increased plasma levels of total cholesterol and low density lipoprotein cholesterol, tendinous xanthomata, and premature symptoms of coronary heart disease. It is inherited as an autosomal dominant disorder with homozygotes having a more severe phenotype than do heterozygotes. FH can result from mutations in the low density lipoprotein receptor gene (LDLR), the apolipoprotein B-100 gene (APOB), and the recently identified proprotein convertase subtilisin/kexin type 9 gene (PCSK9).

High "population attributable fraction" for coronary heart disease mortality among relatives in monogenic familial hypercholesterolemia.

Purpose: To estimate "population attributable fraction" (PAF) for coronary heart disease (CHD) mortality in a population of first-degree relatives of patients with monogenic familial hypercholesterolemia (FH) compared with the PAF for hypercholesterolemia in the general population.

Methods: PAF was calculated as [f(R - 1)/[1 + f(R - 1)]], where f is the frequency of the risk factor (hypercholesterolemia) and R is the relative risk for the association of hypercholesterolemia and CHD death. For FH relatives, f was assumed to be 50%, based on a fully penetrant, dominant mode of inheritance, and R values were obtained from the prospective Simon Broome Register data.

Polygenic susceptibility to breast cancer and implications for prevention.

The knowledge of human genetic variation that will come from the human genome sequence makes feasible a polygenic approach to disease prevention, in which it will be possible to identify individuals as susceptible by their genotype profile and to prevent disease by targeting interventions to those at risk. There is doubt, however, regarding the magnitude of these genetic effects and thus the potential to apply them to either individuals or populations. We have therefore examined the potential for prediction of risk based on common genetic variation using data from a population-based series of individuals with breast cancer.